The Random Stimulus Design

1982 ◽  
Vol 3 (4) ◽  
pp. 69-75 ◽  
Author(s):  
Johnny L. Matson ◽  
Thomas H. Ollendick
NeuroImage ◽  
2004 ◽  
Vol 23 (4) ◽  
pp. 1370-1381 ◽  
Author(s):  
Carsten Giessing ◽  
Christiane M. Thiel ◽  
Klaas E. Stephan ◽  
Frank Rösler ◽  
Gereon R. Fink

1998 ◽  
Vol 79 (6) ◽  
pp. 3257-3265 ◽  
Author(s):  
Vincent P. Clark ◽  
Jose M. Maisog ◽  
James V. Haxby

Clark, Vincent P., Jose M. Maisog, and James V. Haxby. fMRI study of face perception and memory using random stimulus sequences. J. Neurophysiol. 79: 3257–3265, 1998. A new functional magnetic resonance imaging (fMRI) method was used to investigate the functional neuroanatomy of face perception and memory. Whole-brain fMRI data were acquired while four types of stimuli were presented sequentially in an unpredictable pseudorandom order at a rate of 0.5 Hz. Stimulus types were a single repeated memorized target face, unrepeated novel faces, nonsense scrambled faces, and a blank screen. Random stimulus sequences were designed to generate a functional response to each stimulus type that was uncorrelated with responses to other stimuli. This allowed fMRI responses to each stimulus type to be examined separately using multiple regression. Signal increases were found for all stimuli in ventral posterior cortex. Responses to intact faces extended to more anterior locations of occipitotemporal cortex than did responses to scrambled faces, consistent with previous studies of face perception. Responses evoked by novel faces were in regions of ventral occipitotemporal cortex medial to regions in which significant responses were evoked by the target face. The repeated target face stimulus also evoked activity in widely distributed regions of frontal and parietal cortex. These results demonstrate that cortical hemodynamic responses to interleaved novel and repeated stimuli can be distinguished and measured using fMRI with appropriate stimulus sequences and data analysis methods. This method can now be used to examine the neural systems involved in cognitive tasks that were previously impossible to study using positron emission tomography or fMRI.


2018 ◽  
Vol 29 (8) ◽  
pp. 1309-1320 ◽  
Author(s):  
Mikhail S. Spektor ◽  
David Kellen ◽  
Jared M. Hotaling

When people are choosing among different options, context seems to play a vital role. For instance, adding a third option can increase the probability of choosing a similar dominating option. This attraction effect is one of the most widely studied phenomena in decision-making research. Its prevalence, however, has been challenged recently by the tainting hypothesis, according to which the inferior option contaminates the attribute space in which it is located, leading to a repulsion effect. In an attempt to test the tainting hypothesis and explore the conditions under which dominated options make dominating options look bad, we conducted four preregistered perceptual decision-making studies with a total of 301 participants. We identified two factors influencing individuals’ behavior: stimulus display and stimulus design. Our results contribute to a growing body of literature showing how presentation format influences behavior in preferential and perceptual decision-making tasks.


2020 ◽  
Author(s):  
Benjamin Djulbegovic ◽  
David J Weiss ◽  
Iztok Hozo

Objectives To evaluate if the US governors decision to issue the stay-at-home orders reflects the classic Weber-Fechner law of psychophysics, the amount by which a stimulus (such as number of cases or deaths) must increase in order to be noticed-the just noticeable difference- as a fraction of the intensity of that stimulus. Design A prospective observational study using data on the daily number of infected patients and deaths from the New York Times daily database. Setting 50 States and the District of Columbia Participants All individuals judged to be positive for the coronavirus or to have died from COVID19. Main outcome measures Number of people diagnosed with or died from COVID19. Results We found that the decision to issue the state-at-home order reflects the Weber-Fechner law of psychophysics. Both the number of infections (p=<0.0001; R2=0.79) and deaths (p<0.0001; R2=0.63) were highly statistically significantly associated with the decision to issue the stay-at-home orders. The results indicate that for each doubling of infections or deaths within their state, an additional four to six governors will issue the stay-at-home order. We also observed a clear dose-response relationship in the Cox model: the larger the number of cases, or deaths, the higher the probability that the stay-at-home order will be made. When the number of deaths reached 256 or the number of infected people was greater than 16,384, the probability of issuing a stay-at-home order was close to 100%. Conclusions When there are not clearly articulated rules to follow, decision-makers in times of crisis such as COVID19 resort to use of simple heuristics consistent with the Weber-Fechner law of psychophysics. The findings are important for the public to understand how their elected officials make important public health decisions.


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